Implementacja algorytmów ewolucyjnych w gospodarce opartej na wiedzy

Abstract

The paper elaborates on the conception of the action and the typology of evolutionaryalgorithms as the broadly used research and optimization technique based on Darwinian Theoryof evolution and modern natural genetics. Evolutionary algorithms are the method that bloomsnowadays, and is successfully used in many research fields (in technologic sciences, life sciences and economics and management sciences). The authors focus on examples of the applications of the evolutionary algorithms to the management sciences.

The Use of Evolutionary Algorithms for Optimization in the Modern Entrepreneurial Economy: Interdisciplinary Perspective

“…To understand how EAs work, it is best to refer directly to Charles Darwin's theory of evolution. The mechanism and course of biological evolution is based on the following five assumptions (Hurley, Moutinho, & Stephens, 1995;Sieja & Wach, 2008): − limited resources: individuals must compete for the same environmental resources, − fitness: some features are more desirable in the competition for environmental resources, hence specific features give individuals the competitive advantage in a certain environment, − heredity: individuals inherit the features of their ancestors, − variation: the heredity process is not accurate but fraught with changes that can take the form of mutations (primary variation) and recombination i.e. crossover (secondary variation), caused by natural selection, genetic drift, or the level of gene flow, − natural selection (survival of the fittest): more adapted individuals to an environment have a better chance of surviving and producing offspring than the less adapted individuals.…”

“…Therefore, specimen seek the best features in other specimen, so that -in the case of inheritance -the new specimen would fit better to the environment. Through heredity, there occur mechanisms called genetic operations (Sieja & Wach, 2008): − mutation, i.e. random variation that leads to the emergence of new genotypes due to perturbation one of the parent specimen, − crossover, i.e.…”